You are architecting an onboard AI system for an autonomous vehicle. The system must process real-time streams from high-resolution LiDAR, radar, and camera sensors to make driving decisions with sub-millisecond latency. Because the system runs locally inside the vehicle, it requires power-efficient, ruggedized, and highly reliable hardware. Which two NVIDIA platforms are designed for this type of onboard edge AI and automotive deployment? (Select two)
Select all correct answers, then click Submit.
Short Explanation
You can't put a data-center supercomputer or a gaming card in a car and expect it to survive heat, vibration, and safety rules. You need NVIDIA DRIVE AGX Pegasus for certified self-driving compute and Jetson AGX Xavier for power-efficient edge AI. Both deliver local, low-latency AI with automotive-friendly power and rugged design.
Full Explanation
Deploying artificial intelligence models onboard autonomous vehicles introduces strict design constraints: low latency for safety-critical real-time processing, high energy efficiency to run on battery systems, and ruggedized physical designs to withstand extreme operating conditions (temperature, vibration).
The correct platforms are NVIDIA DRIVE AGX Pegasus and NVIDIA Jetson AGX Xavier.
NVIDIA DRIVE AGX Pegasus is architected specifically for autonomous vehicles (Level 4 and Level 5 autonomy). It features multiple Xavier SoCs and high-performance Turing GPUs, providing the parallel processing power needed to ingest and process massive data streams from LiDAR, cameras, and radar simultaneously. Crucially, the DRIVE platform is designed to meet ISO 26262 ASIL-D functional safety standards, which are mandatory for automotive control systems.
NVIDIA Jetson AGX Xavier is a high-performance system-on-module (SoM) designed for embedded edge AI applications, including robotics and autonomous machinery. Delivering up to 32 TOPS (Trillion Operations Per Second) of compute performance at configurable power levels (10W to 30W), it allows deep learning models to run locally at the edge with low latency and high energy efficiency.
The NVIDIA DGX A100 is a massive, high-power-draw (typically several kilowatts) data center supercomputer designed for training AI models in server rooms, not for vehicle installation.
The NVIDIA Tesla T4 is an enterprise GPU designed for data center scale-out servers hosting inference or virtualization workloads. It lacks the safety, sensor-interface, and power-profile characteristics required for onboard automotive deployment.
The NVIDIA GeForce RTX 3080 is a consumer-grade desktop graphics card designed for gaming and workstations, lacking the ruggedized design, specialized interfaces, and safety certifications required for vehicle integration.
Thus, NVIDIA DRIVE AGX Pegasus and NVIDIA Jetson AGX Xavier are the appropriate hardware platforms for onboard autonomous vehicle systems.